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Student understanding of rotational and rolling motion concepts

Physical Review Special Topics. Physics Education Research, 2005
We investigated the common difficulties that students have with concepts related to rotational and rolling motion covered in the introductory physics courses.
Lorenzo G. Rimoldini, Chandralekha Singh
doaj   +6 more sources

Physics E-Book based on STEM Integrated Modelling Instruction in Circular Motion

Journal of Education Technology, 2022
Circular motion has many applications in everyday life. However, the circular motion of matter is one of the abstract concepts of physics. The use of e-books as a medium for learning physics can help students visualize abstract concepts. This study aims
Yohana Atwina Aspiranti Ndoa, Jumadi
doaj   +3 more sources

Gasing Game: Ethnoscientific Exploration of Circular Motion in Physics Learning on the Coast of East Sumatra to Build the Character of Perseverance

Schrödinger: Journal of Physics Education
Purpose of the study: The aim of this research is to explore the role of the traditional gasing game as a local wisdom in the coastal areas of East Sumatra in the context of Ethnoscience Physics learning about circular motion. Methodology: This research
Jusmaniar Jusmaniar, Imelda Riani, Eric Anderson, Mei Chi Lee, Sri Wina Oktavia   +4 more
openalex   +3 more sources

Physical Inertial Poser (PIP): Physics-aware Real-time Human Motion Tracking from Sparse Inertial Sensors [PDF]

Computer Vision and Pattern Recognition, 2022
Motion capture from sparse inertial sensors has shown great potential compared to image-based approaches since occlusions do not lead to a reduced tracking quality and the recording space is not restricted to be within the viewing frustum of the camera ...
Xinyu Yi, Yuxiao Zhou, Marc Habermann, Soshi Shimada, Vladislav Golyanik, C. Theobalt, Feng Xu   +6 more
semanticscholar   +1 more source

PhysDiff: Physics-Guided Human Motion Diffusion Model [PDF]

IEEE International Conference on Computer Vision, 2022
Denoising diffusion models hold great promise for generating diverse and realistic human motions. However, existing motion diffusion models largely disregard the laws of physics in the diffusion process and often generate physically-implausible motions ...
Ye Yuan, Jiaming Song, Umar Iqbal, Arash Vahdat, Jan Kautz   +4 more
semanticscholar   +1 more source

Universal Humanoid Motion Representations for Physics-Based Control [PDF]

International Conference on Learning Representations, 2023
We present a universal motion representation that encompasses a comprehensive range of motor skills for physics-based humanoid control. Due to the high dimensionality of humanoids and the inherent difficulties in reinforcement learning, prior methods ...
Zhengyi Luo, Jinkun Cao, Josh Merel, Alexander Winkler, Jing Huang, Kris Kitani, Weipeng Xu   +6 more
semanticscholar   +1 more source

MoConVQ: Unified Physics-Based Motion Control via Scalable Discrete Representations [PDF]

ACM Transactions on Graphics, 2023
In this work, we present MoConVQ, a novel unified framework for physics-based motion control leveraging scalable discrete representations. Building upon vector quantized variational autoencoders (VQ-VAE) and model-based reinforcement learning, our ...
Heyuan Yao, Zhenhua Song, Yuyang Zhou, Tenglong Ao, Baoquan Chen, Libin Liu   +5 more
semanticscholar   +1 more source

Physics Constrained Motion Prediction with Uncertainty Quantification [PDF]

2023 IEEE Intelligent Vehicles Symposium (IV), 2023
Predicting the motion of dynamic agents is a critical task for guaranteeing the safety of autonomous systems. A particular challenge is that motion prediction algorithms should obey dynamics constraints and quantify prediction uncertainty as a measure of
Renukanandan Tumu, Lars Lindemann, Truong X. Nghiem, Rahul Mangharam   +3 more
semanticscholar   +1 more source

Graphic User Interface (GUI) Matlab for Making Media Teaching Media Straight Motion Physics

Jurnal Paedagogy, 2022
The purpose of this study was to analize he use of GUI Matlab as a medium for learning physics for students at the SMP/MTs and SMA/SMK/MA levels through literature study.
Muhammad Nasir, Prionggodigdo Nugroho, S. U. Khasanah, Hafiz Suhendra   +3 more
semanticscholar   +1 more source

Physics-based Human Motion Estimation and Synthesis from Videos [PDF]

IEEE International Conference on Computer Vision, 2021
Human motion synthesis is an important problem with applications in graphics, gaming and simulation environments for robotics. Existing methods require accurate motion capture data for training, which is costly to obtain.
Kevin Xie, Tingwu Wang, Umar Iqbal, Yunrong Guo, S. Fidler, Florian Shkurti   +5 more
semanticscholar   +1 more source